Poster

Thu 0:30

MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar

Poster

Tue 8:30

The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim

Poster

Tue 8:30

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Andrew Jesson · Panagiotis Tigas · Joost van Amersfoort · Andreas Kirsch · Uri Shalit · Yarin Gal

Poster

Thu 8:30

DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel · Trent Kyono · Jeroen Berrevoets · Mihaela van der Schaar

Workshop

Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu · Xiaogang Jia · Masayoshi TOMIZUKA · Wei Zhan

Workshop

A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments
Abhishek Kumar Umrawal

Workshop

Mon 12:30

Causal World Models
Bernhard Schölkopf

Workshop

What Would the Expert do()?: Causal Imitation Learning
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu

Workshop

Task-Independent Causal State Abstraction
Zizhao Wang · Xuesu Xiao · Yuke Zhu · Peter Stone

Workshop

Mon 14:35

What Would the Expert do()?: Causal Imitation Learning
Gokul Swamy · Sanjiban Choudhury · James Bagnell · Steven Wu

Workshop

Workshop

Mon 8:30

Ricardo Silva - The Road to Causal Programming
Ricardo Silva